Computational mouse atlases and their application to automatic assessment of craniofacial dysmorphology caused by the Crouzon mutation Fgfr2C342Y

Journal of Anatomy

Volumn 211, Issue 1, 2007, Pages 37-52

  Ólafsdóttir, Hildur ^a,b   Darvann, Tron A ^b   Hermann, Nuno V ^b   Oubel, Estanislao ^c   Ersbøll, Bjarne K ^a   Frangi, Alejandro F ^c   Larsen, Per ^b   Perlyn, Chad A ^d   Morriss kay, Gillian M ^e   Kreiborg, Sven ^b,f  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

^c UNIVERSITAT POMPEU FABRA   (Spain)

^d WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e UNIVERSITY OF OXFORD   (United Kingdom)

^f International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health   (Denmark)

Author keywords

Affine image registration; Computational atlas; Craniofacial mouse atlas; Crouzon syndrome; Local displacements; Mouse model; Non rigid image registration; Shape deviations

Indexed keywords

FIBROBLAST GROWTH FACTOR RECEPTOR 2;

ACCURACY; AMINO ACID SUBSTITUTION; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; CEPHALOMETRY; COMPUTER ANALYSIS; CONTROLLED STUDY; CRANIOFACIAL MALFORMATION; CROUZON SYNDROME; DISEASE MODEL; GENE MUTATION; IMAGE ANALYSIS; IMAGE PROCESSING; INTERMETHOD COMPARISON; LABORATORY AUTOMATION; LINEAR SYSTEM; MATHEMATICAL ANALYSIS; MICRO-COMPUTED TOMOGRAPHY; MOUSE; NONHUMAN; OBSERVER VARIATION; PATHOGENESIS; PRIORITY JOURNAL; SKULL BASE; SKULL SCINTISCANNING; VALIDATION PROCESS; WILD TYPE;

ANIMALS; CRANIOFACIAL DYSOSTOSIS; DATABASES; FACIAL BONES; HUMANS; MICE; MICE, MUTANT STRAINS; MODELS, ANIMAL; MUTATION; PATTERN RECOGNITION, AUTOMATED; RECEPTOR, FIBROBLAST GROWTH FACTOR, TYPE 2; REFERENCE STANDARDS; SKULL; TOMOGRAPHY, X-RAY COMPUTED;

MUS;

EID: 34447135106     PISSN: 00218782     EISSN: 14697580     Source Type: Journal    
DOI: 10.1111/j.1469-7580.2007.00751.x     Document Type: Article

References (38)

1. Bland J, Altman D (1986) Statistical methods for assessing agreement between 2 methods of clinical measurement. Lancet i, 307-310.
2. Brandt R, Rohlfing T, Rybak J, et.al. (2005) Three-dimensional average-shape atlas of the honeybee brain and its applications. J Comparative Neurol 492, 1-19.
3. Carinci F, Avantaggiato A, Curioni C (1994) Crouzon syndrome: cephalometric analysis and evaluation of pathogenesis. Cleft Palate Craniofac J 31, 201-209.
4. Christensen GE, Kane AA, Marsh JL, Vannier MW (1996) Synthesis of an individualized cranial atlas with dysmorphic shape. In Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis, pp 309-318. IEEE.
5. Crouzon O (1912) Dysostose cranio-faciale héréditère. Bull Mem Soc Méd Hôp Paris 33, 545-555.
6. Cuadra M, Pollo C, Bardera A, Cuisenaire O, Villemure JG, Thiran JP (2004) Atlas-based segmentation of pathological MR brain images using a model of lesion growth. IEEE Trans Med Imaging 23, 1301-1314.
7. Cutting C, Dean D, Bookstein F, et.al. (1995) A three-dimensional smooth surface analysis of untreated Crouzons syndrome in the adult. J Craniofac Surg 6, 444-453.
8. Duay V, Houhou N, Thiran JP (2006) Atlas-based segmentation of medical images locally constrained by level sets. In International Conference on Image Processing 2005. Proceedings II, pp. 1286-1289. IEEE.
9. Eswarakumar VP, Horowitz MC, Locklin R, Morriss-Kay GM, Lonai P (2004) A gain-of-function mutation of Fgfr2c demonstrates the roles of this receptor variant in osteogenesis. Proc Natl Acad Sci USA 101, 12555-12560.
10. Guimond A, Meunier J, Thirion JP (2000) Average brain models: A convergence study. Computer Vision Image Understanding 77, 192-210.
11. Joshi S, Davis B, Jomier M, Gerig G (2004) Unbiased diffeomorphic atlas construction for computational anatomy. Neuroimage 23, S151-S160.
12. Kreiborg S (1981) Crouzon syndrome - a clinical and roentgencephalometric study. Doctoral thesis, Institute of Orthodontics, The Royal Dental College, Copenhagen.
13. Le Goualher G, Procyk E, Collins D, Venugopal R, Barillot C, Evans A (1999) Automated extraction and variability analysis of sulcal neuroanatomy. IEEE Trans Med Imaging 18, 206-217.
14. Lele S, Richtsmeier J (1991) Euclidean distance matrix analysis: A coordinate-free approach for comparing biological shapes using landmark data. Am J Phys Anthropol 86, 415-427.
15. Lorenzo-Valdes M, Rueckert D, Mohiaddin R, Sanchez-Ortiz G (2003) Segmentation of cardiac MR images using the EM algorithm with a 4D probabilistic atlas and a global connectivity filter. Engineering Med Biol Soc, 2003. Proc 25th Annu Int Conf IEEE 1, 626-629.
16. Mazziotta J, Toga A, Evans A (2001) A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). Phil Trans R Soc B 356, 1293-1322.
17. Park H, Bland P, Meyer C (2003) Construction of an abdominal probabilistic atlas and its application in segmentation. IEEE Trans Med Imaging 22, 483-492.
18. Paulus M, Gleason S, Easterly M, Foltz C (2001) A review of high-resolution X-ray computed tomography and other imaging modalities for small animal research. Laboratory Anim 30, 36-45.
19. Perlyn CA, DeLeon VB, Babbs C, et.al. (2006) The craniofacial phenotype of the Crouzon mouse: Analysis of a model for syndromic craniosynostosis using 3D microCT. Cleft Palate Craniofacial J 43, 740-747.
20. Perperidis D, Mohiaddin R, Rueckert D (2005a) Construction of a 4D statistical atlas of the cardiac anatomy and its use in classification. Eighth Int Conf Med Image Computing Computer-Assisted Intervention (MICCAI 2005), LNCS 3750, 402-410.
21. Perperidis D, Mohiaddin R, Rueckert D (2005b) Spatio-temporal free-form registration of cardiac MR image sequences. Med Image Anal 9, 441-456.
22. Reardon W, Winter RM, Rutland P, Pulleyn LJ, Jones BM, Malcolm S (1994) Mutations in the fibroblast growth factor receptor 2 gene cause Crouzon syndrome. Nat Genet 8, 98-103.
23. Recinos R, Hanger C, Schaefer R, Dawson C, Gosain A (2004) Microfocal CT: A method for evaluating murine cranial sutures in situ. J Surg Res 116, 322-329.
24. Richtsmeier J (1987) Comparative study of normal, Crouzon, and Apert craniofacial morphology using finite element scaling analysis. Am J Phys Anthropol 74, 473-493.
25. Rueckert D, Sonoda LI, Hayes C, Hill DLG, Leach MO, Hawkes DJ (1999) Nonrigid registration using free-form deformations: Application to breast MR images. IEEE Trans Med Imaging 18, 712-721.
26. Rueckert D, Frangi AF, Schnabel JA (2003) Automatic construction of 3D statistical deformation models of the brain using nonrigid registration. IEEE Trans Med Imaging 22, 1014-1025.
27. Schnabel JA, Rueckert D, Quist M, et.al. (2001) A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations. Fourth Int Conf Med Image Computing Computer-Assisted Intervention (MICCAI 2001) LNCS 2208, 573-581.
28. Shekhar R, Zagrodsky V (2002) Mutual information-based rigid and nonrigid registration of ultrasound Volumes. IEEE Trans Med Imaging 21, 9-22.
29. Song X, Frey E, Tsui B (2001) Development and evaluation of a MicroCT system for small animal imaging. IEEE Nuclear Sci Symp Med Imaging Conference 3, 1600-1604.
30. Sonka M, Fitzpatrick JM (eds) (2000) Medical Imaging - 2. Medical Image Processing and Analysis. Denver, CO: SPIE - The International Society for Optical Engineering.
31. Staubesand J (ed.) (1989) Atlas of Human Anatomy, 20th edn. Vienna: Urban & Scwarzenberg.
32. Studholme C, Hill D, Hawkes D (1999) An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition 32, 71-86.
33. Studholme C, Constable R, Duncan J (2000) Accurate alignment of functional EPI data to anatomical MRI using a physics-based distortion model. IEEE Trans Med Imaging 19, 1115-1127.
34. Subsol G, Thirion JP, Ayache N (1998) A scheme for automatically building three-dimensional morphometric anatomical atlases: Application to a skull atlas. Med Image Anal 2, 37-60.
35. Thompson PM, Toga AW (1997) Detection, visualization and animation of abnormal anatomic structure with a deformable probabilistic brain atlas based on random vector field transformations. Med Image Anal 1, 271-294.
36. Thyagarajan T, Totey S, Danton M, Kulkarni A (2003) Genetically altered mouse models: The good, the bad, and the ugly. Crit Rev Oral Biol Med 14, 154-174.
37. Wells WM, Viola P, Atsumi H, Nakajima S, Kikinis R (1996) Multimodal volume registration by maximization of mutual information. Med Image Anal 1, 35-51.
38. Zhang L, Homan E, Reinhardt J (2006) Atlas-driven lung lobe segmentation in volumetric X-ray CT images. IEEE Trans Med Imaging 25, 1-16.